{"id":"W3128344398","doi":"10.1111/cag.12676","title":"Pathways of crime: Measuring crime concentration along urban roadways","year":2021,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Quotient; Adaptation (eye); Geography; Crime prevention; Street network; Scale (ratio); Spatial ecology; Space (punctuation); Criminology; Computer science; Transport engineering; Cartography; Sociology; Psychology; Mathematics; Ecology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005090459,0.0002985265,0.0004178277,0.001346258,0.001355881,0.0002147886,0.0004781819,0.0002085839,0.001155558],"category_scores_gemma":[0.000368576,0.0003593227,0.0005624916,0.003601966,0.001554786,0.0004384007,0.00004397421,0.0002258656,0.0000104623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001805033,"about_ca_system_score_gemma":0.001016689,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8615555,"about_ca_topic_score_gemma":0.99406,"domain_scores_codex":[0.9969376,0.0002589314,0.000612646,0.0005336986,0.0004355662,0.001221501],"domain_scores_gemma":[0.9971983,0.0001187059,0.0002040434,0.0005184559,0.0008018966,0.00115855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001509602,0.0001256258,0.6494412,0.0001589578,0.0004614712,0.0002796237,0.02414799,0.00001095337,0.001448508,0.2743932,0.03952707,0.009990361],"study_design_scores_gemma":[0.0007633687,0.0001807505,0.5839299,0.000463113,0.0002797172,0.00003525176,0.1206143,0.00001600174,0.004173699,0.004131093,0.2841071,0.001305651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9299675,0.006513338,0.00002254628,0.0008558024,0.00142544,0.0003447297,0.0003606812,0.0001146945,0.06039522],"genre_scores_gemma":[0.9972305,0.001370045,0.0001120488,0.0002771656,0.0002694436,0.00004080562,0.0001156241,0.00003625251,0.0005481465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2702621,"threshold_uncertainty_score":0.9999442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03202495074855585,"score_gpt":0.246112173918435,"score_spread":0.2140872231698791,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}